Ling 3.0 Flash
Summary
Ling 3.0 Flash is an open-weight language model from Inclusionai, released on 23 Jul 2026. It accepts text and generates text, with a 262K-token context window and up to 33K output tokens per response. As of 17 Oct 2026, the lowest listed API price is $0.02 per million input tokens and $0.06 per million output tokens (OpenRouter), across 3 providers we track.
Hybrid-linear MoE reasoning model with 124B total and 5.1B active parameters for efficient agents
Last verified 17 Oct 2026. Every figure on this page links to its source.
Specifications
| Developer | Inclusionai |
|---|---|
| Release date | 23 Jul 2026 [models.dev] |
| Status | Generally available [models.dev] |
| Weights | Open weights [Hugging Face] |
| License | mit [Hugging Face] |
| Parameters | 127B [Hugging Face] |
| Context window | 262K (262,144 tokens) [models.dev] |
| Max output | 33K tokens [models.dev] |
| Input | Text [models.dev] |
| Output | Text [models.dev] |
| Reasoning mode | Yes [models.dev] |
| Tool calling | Yes [models.dev] |
| Hugging Face | inclusionAI/Ling-3.0-flash [Hugging Face] |
Ling 3.0 Flash API pricing by provider
USD per million tokens. Sorted by input price.
| Provider | Input | Output | Cached input | Context | Source |
|---|---|---|---|---|---|
| OpenRouter inclusionai/ling-3.0-flash | $0.02 | $0.06 | $0.0042 | 262K | OpenRouter, 17 Oct 2026 |
| Vercel AI Gateway inclusionai/ling-3.0-flash | $0.02 | $0.06 | $0.0042 | 256K | models.dev, 17 Oct 2026 |
| Novita AI inclusionai/ling-3.0-flash | $0.06 | $0.18 | $0.01 | 262K | models.dev, 17 Oct 2026 |
Running Ling 3.0 Flash locally
Estimated memory, from the parameter count and the architecture in config.json on Hugging Face. Includes about 0.8 GB of runtime overhead.
| Quantization | Weights | Total, 8K context | Total, 32K context |
|---|---|---|---|
| Q4_K_M (4-bit) | 77 GB | 78 GB | 80 GB |
| Q8_0 (8-bit) | 135 GB | 137 GB | 138 GB |
| FP16 / BF16 (16-bit) | 255 GB | 256 GB | 257 GB |
At 4-bit with an 8K conversation, Ling 3.0 Flash needs about 78 GB, more than any single consumer graphics card; it needs a unified-memory machine, a multi-GPU setup or a split between graphics card and system RAM. Check your own hardware.
Frequently asked questions
What is the context window of Ling 3.0 Flash?
Ling 3.0 Flash has a context window of 262,144 tokens (262K) and can generate up to 32,768 tokens in a single response, according to models.dev.
How much does the Ling 3.0 Flash API cost?
Ling 3.0 Flash is listed from $0.02 per million input tokens and $0.06 per million output tokens (OpenRouter). Prices last verified 17 Oct 2026.
Is Ling 3.0 Flash open source?
Ling 3.0 Flash is an open-weight model: its weights are published on Hugging Face as inclusionAI/Ling-3.0-flash under the mit license. Check the license terms before commercial use.
When was Ling 3.0 Flash released?
Inclusionai released Ling 3.0 Flash on 23 Jul 2026, according to models.dev.
Which providers offer Ling 3.0 Flash?
We track Ling 3.0 Flash on 3 providers: OpenRouter, Vercel AI Gateway, Novita AI.
How much VRAM does Ling 3.0 Flash need?
About 78 GB at 4-bit (Q4_K_M) with an 8K-token conversation, and about 137 GB at 8-bit. That is more than any single consumer graphics card holds. These are estimates from the model's published parameter count and architecture.
Change history
- License changed from none to mit
- Parameter count changed from none to 127B
- Now listed on OpenRouter
- Added to the directory
- Now listed on Novita AI
- Now listed on Vercel AI Gateway